05 oct
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Enfint
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Cataluña
Описание: Aristocrat advances gaming technology through modern solutions, gaming content, and technology for B2B customers, casino games, and free-to-play mobile games. The company focuses on responsible gameplay, governance, employee wellbeing, and sustainability. Задачи: * Deploy machine learning models supporting game features, player experience, and operational efficiency * Improve the code quality of others’ work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI applications * Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI for automation and decision support * Develop or refine Streamlit-based tools that present ML/AI capabilities to non-technical users through intuitive and interactive interfaces * Help build and implement model monitoring systems for long-term performance and business alignment * Collaborate with product, data, and engineering teams to identify opportunities for ML and AI * Communicate results, limitations,
and recommendations clearly to technical and business collaborators Требования: * 5+ Years of experience applying machine learning to real-world problems from data to deployment * Strong Python skills and hands-on experience with ML Python libraries * Solid SQL expertise and experience working with large data warehouses * Experience with cloud platforms such as GCP, AWS, or Azure, Docker, and Airflow * Ability to build simple user interfaces such as Streamlit to expose ML models or AI applications to wider teams * Hands-on experience building Generative AI applications with LLMs, including API integration * Interest or early experience in RAG systems through prototypes, side projects, or professional work * Curiosity, initiative, and a desire to learn and grow in a fast-evolving space * Degree in a relevant technical field or equivalent experience * Nice to have: familiarity with agentic AI concepts or frameworks such as LangChain agents
📌 ml engineer in gaming technology (Cataluña)
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📍 Cataluña